List of Publications
There are numbers of autism related research can be found in Malaysia that generally focus on the ASD, learning disorder, communication aids, therapy and many more. The list of publications is provided below:
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2018 |
Ishak, N I; Yusof, H M; Sidek, S N; Jaalan, Z Interactive robotic platform for education and language skill rehabilitation Conference 2017-November , Institute of Electrical and Electronics Engineers Inc., 2018, ISBN: 9781538639603, (cited By 0). Abstract | Links | BibTeX | Tags: Autism, Autism Spectrum Disorders, Autistic Children, Children with Autism, Communication Skills, Diseases, Eye Movement, Facial Expression, High Level Controllers, Human Robot Interaction, Interactive Robotics, Machine Design, Patient Rehabilitation, Robotics @conference{Ishak20181, title = {Interactive robotic platform for education and language skill rehabilitation}, author = {N I Ishak and H M Yusof and S N Sidek and Z Jaalan}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050632534&doi=10.1109%2fICSIMA.2017.8312031&partnerID=40&md5=d2a223b2a4623560320389638990a308}, doi = {10.1109/ICSIMA.2017.8312031}, isbn = {9781538639603}, year = {2018}, date = {2018-01-01}, journal = {2017 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2017}, volume = {2017-November}, pages = {1-5}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {In this paper, we present the mechanism and system design of a robot that is suitable for rehabilitation process for autistic children. Through some researches, robot seems to have the ability to improve the communication skills of the children with autism. An interactive robotic platform has been developed taking into consideration the robot appearance and features to encourage positive outcome in the rehabilitation of autism spectrum disorder (ASD) children. The interaction between the robot and the child included language skills, eye contact, imitation behavior, facial expression and movement of the robot. Here, a high-level controller is integrated to the system to help therapist monitors the children's reactions towards the robot. In result, the developed robot has the ability to help therapist to diagnose and conclude the therapy session in a shorter period. © 2017 IEEE.}, note = {cited By 0}, keywords = {Autism, Autism Spectrum Disorders, Autistic Children, Children with Autism, Communication Skills, Diseases, Eye Movement, Facial Expression, High Level Controllers, Human Robot Interaction, Interactive Robotics, Machine Design, Patient Rehabilitation, Robotics}, pubstate = {published}, tppubtype = {conference} } In this paper, we present the mechanism and system design of a robot that is suitable for rehabilitation process for autistic children. Through some researches, robot seems to have the ability to improve the communication skills of the children with autism. An interactive robotic platform has been developed taking into consideration the robot appearance and features to encourage positive outcome in the rehabilitation of autism spectrum disorder (ASD) children. The interaction between the robot and the child included language skills, eye contact, imitation behavior, facial expression and movement of the robot. Here, a high-level controller is integrated to the system to help therapist monitors the children's reactions towards the robot. In result, the developed robot has the ability to help therapist to diagnose and conclude the therapy session in a shorter period. © 2017 IEEE. |
2016 |
Sheppard, E; Pillai, D; Wong, G T -L; Ropar, D; Mitchell, P How Easy is it to Read the Minds of People with Autism Spectrum Disorder? Journal Article Journal of Autism and Developmental Disorders, 46 (4), pp. 1247-1254, 2016, ISSN: 01623257, (cited By 37). Abstract | Links | BibTeX | Tags: Adolescent, Adult, Article, Autism, Autism Spectrum Disorders, Decision Making, Emotion, Facial Expression, Female, Human, Male, Mental Health, Nonverbal Communication, Pathophysiology, Priority Journal, Psychology, Video Recording, Young Adult @article{Sheppard20161247, title = {How Easy is it to Read the Minds of People with Autism Spectrum Disorder?}, author = {E Sheppard and D Pillai and G T -L Wong and D Ropar and P Mitchell}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84961215349&doi=10.1007%2fs10803-015-2662-8&partnerID=40&md5=d39b6bdebe3c2f33e304eb4d4c09b6fd}, doi = {10.1007/s10803-015-2662-8}, issn = {01623257}, year = {2016}, date = {2016-01-01}, journal = {Journal of Autism and Developmental Disorders}, volume = {46}, number = {4}, pages = {1247-1254}, publisher = {Springer New York LLC}, abstract = {How well can neurotypical adults’ interpret mental states in people with ASD? ‘Targets’ (ASD and neurotypical) reactions to four events were video-recorded then shown to neurotypical participants whose task was to identify which event the target had experienced. In study 1 participants were more successful for neurotypical than ASD targets. In study 2, participants rated ASD targets equally expressive as neurotypical targets for three of the events, while in study 3 participants gave different verbal descriptions of the reactions of ASD and neurotypical targets. It thus seems people with ASD react differently but not less expressively to events. Because neurotypicals are ineffective in interpreting the behaviour of those with ASD, this could contribute to the social difficulties in ASD. © 2015, Springer Science+Business Media New York.}, note = {cited By 37}, keywords = {Adolescent, Adult, Article, Autism, Autism Spectrum Disorders, Decision Making, Emotion, Facial Expression, Female, Human, Male, Mental Health, Nonverbal Communication, Pathophysiology, Priority Journal, Psychology, Video Recording, Young Adult}, pubstate = {published}, tppubtype = {article} } How well can neurotypical adults’ interpret mental states in people with ASD? ‘Targets’ (ASD and neurotypical) reactions to four events were video-recorded then shown to neurotypical participants whose task was to identify which event the target had experienced. In study 1 participants were more successful for neurotypical than ASD targets. In study 2, participants rated ASD targets equally expressive as neurotypical targets for three of the events, while in study 3 participants gave different verbal descriptions of the reactions of ASD and neurotypical targets. It thus seems people with ASD react differently but not less expressively to events. Because neurotypicals are ineffective in interpreting the behaviour of those with ASD, this could contribute to the social difficulties in ASD. © 2015, Springer Science+Business Media New York. |
Rusli, N B; Sidek, S N; Yusof, Md H; Latif, Abd M H Non-invasive assessment of affective states on individual with autism spectrum disorder: A review Conference 56 , Springer Verlag, 2016, ISSN: 16800737, (cited By 1). Abstract | Links | BibTeX | Tags: Affective State, Autism, Biomedical Engineering, Blood, Diseases, Emotion, Facial Expression, Hemodynamics, Infrared Imaging, Noninvasive Medical Procedures, Physiological Signals, Physiology, Signal Detection, Skin, Social Sciences @conference{Rusli2016226, title = {Non-invasive assessment of affective states on individual with autism spectrum disorder: A review}, author = {N B Rusli and S N Sidek and H Md Yusof and M H Abd Latif}, editor = {Ahmad Usman M Y J Ibrahim F. Mohktar M.S.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84952767451&doi=10.1007%2f978-981-10-0266-3_47&partnerID=40&md5=f4aafb2216ef5c9d03ae7a1db352e4bd}, doi = {10.1007/978-981-10-0266-3_47}, issn = {16800737}, year = {2016}, date = {2016-01-01}, journal = {IFMBE Proceedings}, volume = {56}, pages = {226-230}, publisher = {Springer Verlag}, abstract = {Individuals with Autism Spectrum Disorder (ASD) are identified as a group of people who have social interaction and communication impairment. They have difficulty in producing speech and explaining what they meant. They also suffer from emotional or cognitive states requirement that stance challenges to their interest in communicating and socializing. Hence, it is vital to know their emotion to help them develop better skills in social interaction. Emotion can be derived from affective states and can be detected through physical reaction and physiological signals. There are numerous known modalities available to detect the affective states either through invasive and non-invasive methods. In order to evaluate the affective states of individuals with ASD, amongst the methods used are through electrodermal activity (EDA), electromyographic (EMG) activity, and cardiovascular activity (ECG) and blood flow analyses. Though considered non invasive, these methods require sensor to be patched on to the skin causing discomfort to the subjects and might distract their true emotion. We propose non-invasive methods which is also contactless to address the problem to detect emotion of individual with ASD that is through thermal imaging. Through the impact of cutaneous temperature in blood flow, thermal imprint is radiated and can be detected in this method. To date, no research has been reported of the use of thermal imaging analysis of facial skin temperature on the individuals with ASD. In this paper we will justify the method and also discuss the merits and demerits of other methods. © International Federation for Medical and Biological Engineering 2016.}, note = {cited By 1}, keywords = {Affective State, Autism, Biomedical Engineering, Blood, Diseases, Emotion, Facial Expression, Hemodynamics, Infrared Imaging, Noninvasive Medical Procedures, Physiological Signals, Physiology, Signal Detection, Skin, Social Sciences}, pubstate = {published}, tppubtype = {conference} } Individuals with Autism Spectrum Disorder (ASD) are identified as a group of people who have social interaction and communication impairment. They have difficulty in producing speech and explaining what they meant. They also suffer from emotional or cognitive states requirement that stance challenges to their interest in communicating and socializing. Hence, it is vital to know their emotion to help them develop better skills in social interaction. Emotion can be derived from affective states and can be detected through physical reaction and physiological signals. There are numerous known modalities available to detect the affective states either through invasive and non-invasive methods. In order to evaluate the affective states of individuals with ASD, amongst the methods used are through electrodermal activity (EDA), electromyographic (EMG) activity, and cardiovascular activity (ECG) and blood flow analyses. Though considered non invasive, these methods require sensor to be patched on to the skin causing discomfort to the subjects and might distract their true emotion. We propose non-invasive methods which is also contactless to address the problem to detect emotion of individual with ASD that is through thermal imaging. Through the impact of cutaneous temperature in blood flow, thermal imprint is radiated and can be detected in this method. To date, no research has been reported of the use of thermal imaging analysis of facial skin temperature on the individuals with ASD. In this paper we will justify the method and also discuss the merits and demerits of other methods. © International Federation for Medical and Biological Engineering 2016. |
2015 |
Jamil, N; Khir, N H M; Ismail, M; Razak, F H A Gait-Based Emotion Detection of Children with Autism Spectrum Disorders: A Preliminary Investigation Conference 76 , Elsevier B.V., 2015, ISSN: 18770509, (cited By 4). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Children with Autism, Data Acquisition, Diseases, Emotion, Emotion Detection, Emotion Recognition, Emotional State, Facial Expression, Gait Analysis, Intelligent Control, Nonverbal Communication, Pattern Recognition, Robotics, Smart Sensors, Social Communications, Speech Recognition @conference{Jamil2015342, title = {Gait-Based Emotion Detection of Children with Autism Spectrum Disorders: A Preliminary Investigation}, author = {N Jamil and N H M Khir and M Ismail and F H A Razak}, editor = {Miskon M F Yussof H.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962833568&doi=10.1016%2fj.procs.2015.12.305&partnerID=40&md5=6893678f1ed83b87147ff9183b94428b}, doi = {10.1016/j.procs.2015.12.305}, issn = {18770509}, year = {2015}, date = {2015-01-01}, journal = {Procedia Computer Science}, volume = {76}, pages = {342-348}, publisher = {Elsevier B.V.}, abstract = {With the disturbing increase of children with Autism Spectrum Disorder (ASD) in Malaysia, a lot of efforts and studies are put forward towards understanding and managing matters related to ASD. One way is to find means of easing the social communications among these children and their caretakers, particularly during intervention. If the caretaker is able to comprehend the children emotional state of mind prior to therapy, some sort of trust and attachment will be developed. However, regulating emotions is a challenge to these children. Nonverbal communication such as facial expression is difficult for ASD children. Therefore, we proposed the use of walking patterns (i.e. gait) to detect the type of emotions of ASD children. Even though using gait for emotion recognition is common among normal individuals, none can be found done on children with ASD. Thus, the aim of this paper is to conduct a preliminary review on the possibilities of carrying out gait-based emotion detection among ASD children with regards to the emotional types, gait parameters and methods of gait data acquisition. © 2015 The Authors.}, note = {cited By 4}, keywords = {Autism Spectrum Disorders, Children with Autism, Data Acquisition, Diseases, Emotion, Emotion Detection, Emotion Recognition, Emotional State, Facial Expression, Gait Analysis, Intelligent Control, Nonverbal Communication, Pattern Recognition, Robotics, Smart Sensors, Social Communications, Speech Recognition}, pubstate = {published}, tppubtype = {conference} } With the disturbing increase of children with Autism Spectrum Disorder (ASD) in Malaysia, a lot of efforts and studies are put forward towards understanding and managing matters related to ASD. One way is to find means of easing the social communications among these children and their caretakers, particularly during intervention. If the caretaker is able to comprehend the children emotional state of mind prior to therapy, some sort of trust and attachment will be developed. However, regulating emotions is a challenge to these children. Nonverbal communication such as facial expression is difficult for ASD children. Therefore, we proposed the use of walking patterns (i.e. gait) to detect the type of emotions of ASD children. Even though using gait for emotion recognition is common among normal individuals, none can be found done on children with ASD. Thus, the aim of this paper is to conduct a preliminary review on the possibilities of carrying out gait-based emotion detection among ASD children with regards to the emotional types, gait parameters and methods of gait data acquisition. © 2015 The Authors. |
2014 |
Cassidy, S; Ropar, D; Mitchell, P; Chapman, P Can adults with autism spectrum disorders infer what happened to someone from their emotional response? Journal Article Autism Research, 7 (1), pp. 112-123, 2014, ISSN: 19393792, (cited By 21). Abstract | Links | BibTeX | Tags: Accuracy, Adult, Aged, Article, Asperger Syndrome, Attention, Autism, Behaviour, Cacao, Child Development Disorders, Clinical Article, Concept Formation, Controlled Study, Deception, Discrimination (Psychology), Emotion, Eye Movement, Eye Tracking, Face Processing, Facial Expression, Female, Human, Interpersonal Relations, Male, Middle Aged, Money, Pervasive, Priority Journal, Recipient, Recognition, Reference Values, Retrodictive Mindreading, Spontaneous Emotion Recognition, Theory of Mind, Video Recording, Young Adult @article{Cassidy2014112, title = {Can adults with autism spectrum disorders infer what happened to someone from their emotional response?}, author = {S Cassidy and D Ropar and P Mitchell and P Chapman}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84894307909&doi=10.1002%2faur.1351&partnerID=40&md5=8c6736bc006e9eebde29427879d023c3}, doi = {10.1002/aur.1351}, issn = {19393792}, year = {2014}, date = {2014-01-01}, journal = {Autism Research}, volume = {7}, number = {1}, pages = {112-123}, publisher = {John Wiley and Sons Inc.}, abstract = {Can adults with autism spectrum disorders (ASD) infer what happened to someone from their emotional response? Millikan has argued that in everyday life, others' emotions are most commonly used to work out the antecedents of behavior, an ability termed retrodictive mindreading. As those with ASD show difficulties interpreting others' emotions, we predicted that these individuals would have difficulty with retrodictive mindreading. Sixteen adults with high-functioning autism or Asperger's syndrome and 19 typically developing adults viewed 21 video clips of people reacting to one of three gifts (chocolate, monopoly money, or a homemade novelty) and then inferred what gift the recipient received and the emotion expressed by that person. Participants' eye movements were recorded while they viewed the videos. Results showed that participants with ASD were only less accurate when inferring who received a chocolate or homemade gift. This difficulty was not due to lack of understanding what emotions were appropriate in response to each gift, as both groups gave consistent gift and emotion inferences significantly above chance (genuine positive for chocolate and feigned positive for homemade). Those with ASD did not look significantly less to the eyes of faces in the videos, and looking to the eyes did not correlate with accuracy on the task. These results suggest that those with ASD are less accurate when retrodicting events involving recognition of genuine and feigned positive emotions, and challenge claims that lack of attention to the eyes causes emotion recognition difficulties in ASD. Autism Res 2014, 7: 112-123. © 2013 International Society for Autism Research, Wiley Periodicals, Inc.}, note = {cited By 21}, keywords = {Accuracy, Adult, Aged, Article, Asperger Syndrome, Attention, Autism, Behaviour, Cacao, Child Development Disorders, Clinical Article, Concept Formation, Controlled Study, Deception, Discrimination (Psychology), Emotion, Eye Movement, Eye Tracking, Face Processing, Facial Expression, Female, Human, Interpersonal Relations, Male, Middle Aged, Money, Pervasive, Priority Journal, Recipient, Recognition, Reference Values, Retrodictive Mindreading, Spontaneous Emotion Recognition, Theory of Mind, Video Recording, Young Adult}, pubstate = {published}, tppubtype = {article} } Can adults with autism spectrum disorders (ASD) infer what happened to someone from their emotional response? Millikan has argued that in everyday life, others' emotions are most commonly used to work out the antecedents of behavior, an ability termed retrodictive mindreading. As those with ASD show difficulties interpreting others' emotions, we predicted that these individuals would have difficulty with retrodictive mindreading. Sixteen adults with high-functioning autism or Asperger's syndrome and 19 typically developing adults viewed 21 video clips of people reacting to one of three gifts (chocolate, monopoly money, or a homemade novelty) and then inferred what gift the recipient received and the emotion expressed by that person. Participants' eye movements were recorded while they viewed the videos. Results showed that participants with ASD were only less accurate when inferring who received a chocolate or homemade gift. This difficulty was not due to lack of understanding what emotions were appropriate in response to each gift, as both groups gave consistent gift and emotion inferences significantly above chance (genuine positive for chocolate and feigned positive for homemade). Those with ASD did not look significantly less to the eyes of faces in the videos, and looking to the eyes did not correlate with accuracy on the task. These results suggest that those with ASD are less accurate when retrodicting events involving recognition of genuine and feigned positive emotions, and challenge claims that lack of attention to the eyes causes emotion recognition difficulties in ASD. Autism Res 2014, 7: 112-123. © 2013 International Society for Autism Research, Wiley Periodicals, Inc. |
Bhat, S; Acharya, U R; Adeli, H; Bairy, G M; Adeli, A Autism: Cause factors, early diagnosis and therapies Journal Article Reviews in the Neurosciences, 25 (6), pp. 841-850, 2014, ISSN: 03341763, (cited By 52). Abstract | Links | BibTeX | Tags: 4 Aminobutyric Acid, Adolescent, Agenesis of Corpus Callosum, Animal Assisted Therapy, Anticonvulsive Agent, Article, Assistive Technology, Attention, Autism, Autism Spectrum Disorders, Behaviour Therapy, Biological Marker, Brain, Child Development Disorders, Children, Cognition, Cystine, Developmental Disorders, Diseases, Dolphin, Dolphin Assisted Therapy, DSM-5, Early Diagnosis, Emotion, Facial Expression, Functional Magnetic Resonance Imaging, Functional Neuroimaging, Gaze, Glutathione, Glutathione Disulfide, Human, Infant, Interpersonal Communication, Methionine, Nervous System Inflammation, Neurobiology, Neurofeedback, Oxidative Stress, Pervasive, Physiology, Preschool Child, Priority Journal, Psychoeducation, School Child, Social Interactions, Speech Therapy, Virtual Reality, Zonisamide @article{Bhat2014841, title = {Autism: Cause factors, early diagnosis and therapies}, author = {S Bhat and U R Acharya and H Adeli and G M Bairy and A Adeli}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925284617&doi=10.1515%2frevneuro-2014-0056&partnerID=40&md5=caaa32e66af70e70ec325241d01564c9}, doi = {10.1515/revneuro-2014-0056}, issn = {03341763}, year = {2014}, date = {2014-01-01}, journal = {Reviews in the Neurosciences}, volume = {25}, number = {6}, pages = {841-850}, publisher = {Walter de Gruyter GmbH}, abstract = {Autism spectrum disorder (ASD) is a complex neurobiological disorder characterized by neuropsychological and behavioral deficits. Cognitive impairment, lack of social skills, and stereotyped behavior are the major autistic symptoms, visible after a certain age. It is one of the fastest growing disabilities. Its current prevalence rate in the U.S. estimated by the Centers for Disease Control and Prevention is 1 in 68 births. The genetic and physiological structure of the brain is studied to determine the pathology of autism, but diagnosis of autism at an early age is challenging due to the existing phenotypic and etiological heterogeneity among ASD individuals. Volumetric and neuroimaging techniques are explored to elucidate the neuroanatomy of the ASD brain. Nuroanatomical, neurochemical, and neuroimaging biomarkers can help in the early diagnosis and treatment of ASD. This paper presents a review of the types of autism, etiologies, early detection, and treatment of ASD. © 2014 Walter de Gruyter GmbH.}, note = {cited By 52}, keywords = {4 Aminobutyric Acid, Adolescent, Agenesis of Corpus Callosum, Animal Assisted Therapy, Anticonvulsive Agent, Article, Assistive Technology, Attention, Autism, Autism Spectrum Disorders, Behaviour Therapy, Biological Marker, Brain, Child Development Disorders, Children, Cognition, Cystine, Developmental Disorders, Diseases, Dolphin, Dolphin Assisted Therapy, DSM-5, Early Diagnosis, Emotion, Facial Expression, Functional Magnetic Resonance Imaging, Functional Neuroimaging, Gaze, Glutathione, Glutathione Disulfide, Human, Infant, Interpersonal Communication, Methionine, Nervous System Inflammation, Neurobiology, Neurofeedback, Oxidative Stress, Pervasive, Physiology, Preschool Child, Priority Journal, Psychoeducation, School Child, Social Interactions, Speech Therapy, Virtual Reality, Zonisamide}, pubstate = {published}, tppubtype = {article} } Autism spectrum disorder (ASD) is a complex neurobiological disorder characterized by neuropsychological and behavioral deficits. Cognitive impairment, lack of social skills, and stereotyped behavior are the major autistic symptoms, visible after a certain age. It is one of the fastest growing disabilities. Its current prevalence rate in the U.S. estimated by the Centers for Disease Control and Prevention is 1 in 68 births. The genetic and physiological structure of the brain is studied to determine the pathology of autism, but diagnosis of autism at an early age is challenging due to the existing phenotypic and etiological heterogeneity among ASD individuals. Volumetric and neuroimaging techniques are explored to elucidate the neuroanatomy of the ASD brain. Nuroanatomical, neurochemical, and neuroimaging biomarkers can help in the early diagnosis and treatment of ASD. This paper presents a review of the types of autism, etiologies, early detection, and treatment of ASD. © 2014 Walter de Gruyter GmbH. |
Pillai, D; Sheppard, E; Ropar, D; Marsh, L; Pearson, A; Mitchell, P Using other minds as a window onto the world: Guessing what happened from clues in behaviour Journal Article Journal of Autism and Developmental Disorders, 44 (10), pp. 2430-2439, 2014, ISSN: 01623257, (cited By 17). Abstract | Links | BibTeX | Tags: Adolescent, Adult, Article, Autism, Child Development Disorders, Children, Clinical Article, Cognition, Controlled Study, Eye Movement, Eye Tracking, Facial Expression, Gaze, Human, Intelligence Quotient, Male, Measurement Accuracy, Mouth, Pathophysiology, Pervasive, Physiology, Psychological Aspect, Psychology, Retrodiction, Task Performance, Theory of Mind, Verbal Communication, Video Recording, Videotape Recording, Young Adult @article{Pillai20142430, title = {Using other minds as a window onto the world: Guessing what happened from clues in behaviour}, author = {D Pillai and E Sheppard and D Ropar and L Marsh and A Pearson and P Mitchell}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84912053354&doi=10.1007%2fs10803-014-2106-x&partnerID=40&md5=c3396f6f468e37e253c657f998993859}, doi = {10.1007/s10803-014-2106-x}, issn = {01623257}, year = {2014}, date = {2014-01-01}, journal = {Journal of Autism and Developmental Disorders}, volume = {44}, number = {10}, pages = {2430-2439}, publisher = {Springer New York LLC}, abstract = {It has been proposed that mentalising involves retrodicting as well as predicting behaviour, by inferring previous mental states of a target. This study investigated whether retrodiction is impaired in individuals with autism spectrum disorders (ASD). Participants watched videos of real people reacting to the researcher behaving in one of four possible ways. Their task was to decide which of these four ‘‘scenarios’’ each person responded to. Participants’ eye movements were recorded. Participants with ASD were poorer than comparison participants at identifying the scenario to which people in the videos were responding. There were no group differences in time spent looking at the eyes or mouth. The findings imply those with ASD are impaired in using mentalising skills for retrodiction. © Springer Science+Business Media New York 2014.}, note = {cited By 17}, keywords = {Adolescent, Adult, Article, Autism, Child Development Disorders, Children, Clinical Article, Cognition, Controlled Study, Eye Movement, Eye Tracking, Facial Expression, Gaze, Human, Intelligence Quotient, Male, Measurement Accuracy, Mouth, Pathophysiology, Pervasive, Physiology, Psychological Aspect, Psychology, Retrodiction, Task Performance, Theory of Mind, Verbal Communication, Video Recording, Videotape Recording, Young Adult}, pubstate = {published}, tppubtype = {article} } It has been proposed that mentalising involves retrodicting as well as predicting behaviour, by inferring previous mental states of a target. This study investigated whether retrodiction is impaired in individuals with autism spectrum disorders (ASD). Participants watched videos of real people reacting to the researcher behaving in one of four possible ways. Their task was to decide which of these four ‘‘scenarios’’ each person responded to. Participants’ eye movements were recorded. Participants with ASD were poorer than comparison participants at identifying the scenario to which people in the videos were responding. There were no group differences in time spent looking at the eyes or mouth. The findings imply those with ASD are impaired in using mentalising skills for retrodiction. © Springer Science+Business Media New York 2014. |
2013 |
Modugumudi, Y R; Santhosh, J; Anand, S Efficacy of collaborative virtual environment intervention programs in emotion expression of children with autism Journal Article Journal of Medical Imaging and Health Informatics, 3 (2), pp. 321-325, 2013, ISSN: 21567018, (cited By 4). Abstract | Links | BibTeX | Tags: Adolescent, Adult, Article, Autism, Children, Clinical Article, Collaborative Virtual Environment, Controlled Study, DSM-IV, Electroencephalogram, Electroencephalography, Electrooculogram, Emotion, Environment, Event Related Potential, Facial Expression, Female, Human, Latent Period, Male, Recognition, School Child @article{Modugumudi2013321, title = {Efficacy of collaborative virtual environment intervention programs in emotion expression of children with autism}, author = {Y R Modugumudi and J Santhosh and S Anand}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84881262807&doi=10.1166%2fjmihi.2013.1167&partnerID=40&md5=c8e767c8eba2bbbec5ff36a43eb59af6}, doi = {10.1166/jmihi.2013.1167}, issn = {21567018}, year = {2013}, date = {2013-01-01}, journal = {Journal of Medical Imaging and Health Informatics}, volume = {3}, number = {2}, pages = {321-325}, abstract = {Exploratory empirical studies on Collaborative Virtual Environments (CVEs) were conducted to determine if children with autism could make basic emotional recognition effectively, with the use of CVEs as assistive technology. In this paper we report the results of electro-physiological study of two groups of autistic children after an intervention program with and without using Collaborative Virtual Environment. The group trained with CVE showed better results compared to the group trained without Collaborative virtual Environment. There is an emphasized early emotion expression positivity component at around 120 ms latency for CVE trained group which clearly distinguishes the CVE untrained group. Also there are differences observed in Event Related Potential component at about 170 ms latency after the stimulus. Results indicate that the Collaborative Virtual Environments are effective in training Autistic children. © 2013 American Scientific Publishers.}, note = {cited By 4}, keywords = {Adolescent, Adult, Article, Autism, Children, Clinical Article, Collaborative Virtual Environment, Controlled Study, DSM-IV, Electroencephalogram, Electroencephalography, Electrooculogram, Emotion, Environment, Event Related Potential, Facial Expression, Female, Human, Latent Period, Male, Recognition, School Child}, pubstate = {published}, tppubtype = {article} } Exploratory empirical studies on Collaborative Virtual Environments (CVEs) were conducted to determine if children with autism could make basic emotional recognition effectively, with the use of CVEs as assistive technology. In this paper we report the results of electro-physiological study of two groups of autistic children after an intervention program with and without using Collaborative Virtual Environment. The group trained with CVE showed better results compared to the group trained without Collaborative virtual Environment. There is an emphasized early emotion expression positivity component at around 120 ms latency for CVE trained group which clearly distinguishes the CVE untrained group. Also there are differences observed in Event Related Potential component at about 170 ms latency after the stimulus. Results indicate that the Collaborative Virtual Environments are effective in training Autistic children. © 2013 American Scientific Publishers. |
2011 |
Valeria, N; Lau, B T Learn with me: Collaborative virtual learning for the special children Journal Article Communications in Computer and Information Science, 179 CCIS (PART 1), pp. 486-505, 2011, ISSN: 18650929, (cited By 0). Abstract | Links | BibTeX | Tags: Autism, Cerebral Palsy, Collaborative Learning, Collaborative Virtual Learning, Computer Supported Cooperative Work, Diseases, E-learning, Emotion, Face Recognition, Facial Expression, Gesture Recognition, Handicapped Persons, Software Engineering @article{Valeria2011486, title = {Learn with me: Collaborative virtual learning for the special children}, author = {N Valeria and B T Lau}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79960383135&doi=10.1007%2f978-3-642-22170-5_42&partnerID=40&md5=89b9176492a888e25b3dc5711a8a9f97}, doi = {10.1007/978-3-642-22170-5_42}, issn = {18650929}, year = {2011}, date = {2011-01-01}, journal = {Communications in Computer and Information Science}, volume = {179 CCIS}, number = {PART 1}, pages = {486-505}, abstract = {Collaborative learning environment is regarded as stimulating and engaging for normal learners. The main aim of our research is to investigate its effectiveness in assisting the learning of children with disabilities. We developed a prototype, Learn with Me and conducted a testing on 6 children who have been diagnosed with cerebral palsy and 7 children who have been diagnosed with autism spectrum disorders. Participants were invited to take part in two tests. Result showed participants learn better with responsive virtual tutor as compared to non-responsive virtual learning. © 2011 Springer-Verlag.}, note = {cited By 0}, keywords = {Autism, Cerebral Palsy, Collaborative Learning, Collaborative Virtual Learning, Computer Supported Cooperative Work, Diseases, E-learning, Emotion, Face Recognition, Facial Expression, Gesture Recognition, Handicapped Persons, Software Engineering}, pubstate = {published}, tppubtype = {article} } Collaborative learning environment is regarded as stimulating and engaging for normal learners. The main aim of our research is to investigate its effectiveness in assisting the learning of children with disabilities. We developed a prototype, Learn with Me and conducted a testing on 6 children who have been diagnosed with cerebral palsy and 7 children who have been diagnosed with autism spectrum disorders. Participants were invited to take part in two tests. Result showed participants learn better with responsive virtual tutor as compared to non-responsive virtual learning. © 2011 Springer-Verlag. |
2010 |
Othman, M; Wahab, A Understanding autistic children perception through EEG Conference 2010, ISBN: 9781617820267, (cited By 0). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Autistic Children, Behavioral Research, Children with Autism, Computer Applications, Control Subject, Electroencephalography, Emotion, Emotional State, Empirical Studies, Facial Expression, Mel Frequency Cepstral Coefficients, Multilayer-Percheptron (MLP), Speech Recognition @conference{Othman2010315, title = {Understanding autistic children perception through EEG}, author = {M Othman and A Wahab}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883660524&partnerID=40&md5=df9dac75053fbfa693b4823d5a0a77ad}, isbn = {9781617820267}, year = {2010}, date = {2010-01-01}, journal = {23rd International Conference on Computer Applications in Industry and Engineering 2010, CAINE 2010 - Including SNA 2010 Workshop}, pages = {315-320}, abstract = {Autistic children are known as having difficulties understanding human's facial expressions, making them incapable of interpreting the emotional states of others. This paper seeks to understand autistic children perception by analyzing brain signals using MFCC and MLP. An empirical study was conducted on 6 autistic and 6 typically developing children. Subjects' brainwaves were monitored while watching calm, happy and sad faces. Experimental results show that it is possible to discriminate the emotions of autistic children against control subjects with the accuracy of 76.61%. Brainwaves of autistic children also showed the trend of reversed emotions compared to normal children while watching happy and sad faces.}, note = {cited By 0}, keywords = {Autism Spectrum Disorders, Autistic Children, Behavioral Research, Children with Autism, Computer Applications, Control Subject, Electroencephalography, Emotion, Emotional State, Empirical Studies, Facial Expression, Mel Frequency Cepstral Coefficients, Multilayer-Percheptron (MLP), Speech Recognition}, pubstate = {published}, tppubtype = {conference} } Autistic children are known as having difficulties understanding human's facial expressions, making them incapable of interpreting the emotional states of others. This paper seeks to understand autistic children perception by analyzing brain signals using MFCC and MLP. An empirical study was conducted on 6 autistic and 6 typically developing children. Subjects' brainwaves were monitored while watching calm, happy and sad faces. Experimental results show that it is possible to discriminate the emotions of autistic children against control subjects with the accuracy of 76.61%. Brainwaves of autistic children also showed the trend of reversed emotions compared to normal children while watching happy and sad faces. |
Othman, M; Wahab, A Affective face processing analysis in autism using electroencephalogram Conference 2010, ISBN: 9789791948913, (cited By 7). Abstract | Links | BibTeX | Tags: Affective Face Processing, Analysis Results, Autism Spectrum Disorders, Brain Wave, Diseases, Electroencephalogram, Electroencephalography, Emotion, Emotion Models, Eye Contact, Facial Expression, Human Emotion, Information Technology @conference{Othman2010, title = {Affective face processing analysis in autism using electroencephalogram}, author = {M Othman and A Wahab}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052372671&doi=10.1109%2fICT4M.2010.5971907&partnerID=40&md5=4d5f8a317d6a9c93e1ab7186a9b99b52}, doi = {10.1109/ICT4M.2010.5971907}, isbn = {9789791948913}, year = {2010}, date = {2010-01-01}, journal = {Proceeding of the 3rd International Conference on Information and Communication Technology for the Moslem World: ICT Connecting Cultures, ICT4M 2010}, pages = {E23-E27}, abstract = {Past research in the area of psychology has indicated the inability of Autism Spectrum Disorder (ASD) patients for interpreting other people's emotion. This impairment is due to their lack of social motivation and eye contact during communication, causing insufficient information to the brain for interpreting emotional faces. This paper investigates human brainwaves for understanding affective face processing of ASD children. Pattern classification results are explained based on the 2-dimensional emotion model. The 2-dimensional model explains human emotion in terms of the pleasant/ unpleasantness (or valence) and intensity (or arousal). Analysis results revealed that emotion of the non-autistic group is altered towards matching the affective faces currently displayed on the computer monitor. Emotion dynamics of ASD children, however, indicated the trend for reversed valence while watching emotionally related facial expressions. © 2010 IEEE.}, note = {cited By 7}, keywords = {Affective Face Processing, Analysis Results, Autism Spectrum Disorders, Brain Wave, Diseases, Electroencephalogram, Electroencephalography, Emotion, Emotion Models, Eye Contact, Facial Expression, Human Emotion, Information Technology}, pubstate = {published}, tppubtype = {conference} } Past research in the area of psychology has indicated the inability of Autism Spectrum Disorder (ASD) patients for interpreting other people's emotion. This impairment is due to their lack of social motivation and eye contact during communication, causing insufficient information to the brain for interpreting emotional faces. This paper investigates human brainwaves for understanding affective face processing of ASD children. Pattern classification results are explained based on the 2-dimensional emotion model. The 2-dimensional model explains human emotion in terms of the pleasant/ unpleasantness (or valence) and intensity (or arousal). Analysis results revealed that emotion of the non-autistic group is altered towards matching the affective faces currently displayed on the computer monitor. Emotion dynamics of ASD children, however, indicated the trend for reversed valence while watching emotionally related facial expressions. © 2010 IEEE. |